Triple

T6364781
Position Surface form Disambiguated ID Type / Status
Subject Pál Losonczi E143197 entity
Predicate familyName P18 FINISHED
Object Losonczi
Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
 E588499 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Losonczi | Statement: [Pál Losonczi, familyName, Losonczi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Losonczi
Context triple: [Pál Losonczi, familyName, Losonczi]
  • A. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • D. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • E. Oroszlány
    Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Losonczi
Triple: [Pál Losonczi, familyName, Losonczi]
Generated description
Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Losonczi
Target entity description: Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
  • A. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • B. Sarolt
    Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
  • C. Harkányi
    Harkányi is a Hungarian surname associated with individuals such as Mici Mária Harkányi.
  • D. Ercsi
    Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
  • E. Oroszlány
    Oroszlány is a town in northwestern Hungary known historically for its coal mining and industrial character.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0680ed0148190b6e310b15b3449ff completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d7a1cbc8190a27a0a8e8b466ad5 completed March 27, 2026, 7:10 a.m.
NEDg Description generation batch_69c62ebcd35481909acd54a5b41f99aa completed March 27, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69c62f5024148190915c9495a9e204b1 completed March 27, 2026, 7:18 a.m.
Created at: March 22, 2026, 4:32 p.m.